Method, Computer, and Recording Medium Storing a Program for Computing an Optimal Solution to Engine Design Variables

1. A method of calculating a global optimal solution of engine-related design variables which minimize or maximize a combination of a plurality of objective variables for a plurality of combinations of a plurality of operating states included in an operating area of an engine using a computer, the method comprising: obtaining local optimal solutions of the design variables which minimize or maximize a combination of the plurality of objective variables which are calculated for each of the plurality of combinations of the plurality of operating states; obtaining initial values of a combination of the plurality of design variables used for calculating the global optimal solution; and calculating the global optimal solution by solving, using a genetic algorithm based on the local optimal solutions and the initial values, an equation, which should be satisfied by the plurality of design variables, wherein each of the initial values is used as a resulting value that is obtained through summation of local optimal solutions of the plurality of objective variables corresponding to each other when arranged in ascending or descending order.

2. The method according to claim 1 , wherein in the calculating of the global optimal solution, the equation is the objective variables expressed in a polynomial equation of high degree including the plurality of design variables.

3. The method according to claim 1 , wherein in the calculating of the global optimal solution, the equation is the objective variables expressed in an RBF (Radial Basis Function) model equation including the plurality of design variables.

4. The method according to claim 1 , wherein the operating states include at least revolutions of the engine and load on the engine.

5. The method according to claim 1 , wherein the objective variables include at least specific fuel consumption of the engine and nitrogen oxides emission concentration.

6. The method according to claim 1 , wherein a program which allows execution of each step provided in the method is used.

7. A computer for calculating a global optimal solution of engine-related design variables which minimize or maximize a combination of a plurality of objective variables for a plurality of combinations of a plurality of operating states included in an operating area of an engine, comprising: a local optimal solutions calculating means for obtaining local optimal solutions of the design variables which minimize or maximize a combination of the plurality of objective variables which are calculated for each of the plurality of combinations of the plurality of operating states; an initial values calculating means for obtaining initial values of a combination of the plurality of design variables used for calculating the global optimal solution; and a global optimal solution calculating means for calculating the global optimal solution by solving, using a genetic algorithm based on the local optimal solutions and the initial values an equation, which should be satisfied by the plurality of design variables, wherein each of the initial values is used as a resulting value that is obtained through summation of local optimal solutions of the plurality of objective variables corresponding to each other when arranged in ascending or descending order.

8. A recording medium on which a program of instructing a computer to calculate a global optimal solution of engine-related design variables which minimize or maximize a combination of a plurality of objective variables for a plurality of combinations of a plurality of operating states included in operating area of an engine is stored, the program comprising steps of: obtaining local optimal solutions of the design variables which minimize or maximize a combination of the plurality of objective variables which are calculated for each of the plurality of combinations of the plurality of operating states; obtaining initial values of a combination of the plurality of design variables used for calculating the global optimal solution; and calculating the global optimal solution by solving, using a genetic algorithm based on the local optimal solutions and the initial values, an equation, which should be satisfied by the plurality of design variables, wherein each of the initial values is used as a resulting value that is obtained through summation of local optimal solutions of the plurality of objective variables corresponding to each other when arranged in ascending or descending order.